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Systems

Built aroundreal problems.

A Mycellium system begins with the operating reality: ownership, evidence, constraints, failure modes, and the decisions people still need to make.

Interlocking white ceramic channels, chrome conduits, and optical glass bridges

When the operation stops behaving like one system.

A company can have capable teams and modern software and still run through broken handoffs, duplicated data, conflicting priorities, and decisions made without a shared view. The result appears as delay, rework, missed signals, and risk.

Mycellium enters at that boundary. We observe the real operation, locate where context and authority break down, and build the smallest system that can reconnect the work without hiding human judgment.

Different problems.
Different instruments.

Each architecture is selected for the field it has to survive.

Private pilot

Manager

Manager connects the systems a restaurant already uses and turns scattered operations into a clearer picture of what needs attention next.

Context · decisions · executionSee the product →
In development

Delta One

A phone designed around your voice, so you can stay present. Make a call, send a text or check your day. Reach for the screen when you want it.

Voice · tasks · explicit authoritySee the product →
Public

Sotatsu

Sotatsu gives AI-native artists a place to publish work, build a presence and reach an audience without being reduced to content inventory.

Artists · curation · provenanceSee the product →
Research prototype

Hyperion

Hyperion brings rainfall, tide, terrain and urban exposure into one operational view, helping people see a fast-changing flood event earlier and more clearly.

Signals · risk · responseSee the product →
Public

Korvo

Korvo makes research, ideas and critical discussion about AI more accessible to Brazilian Portuguese readers · openly and without noise.

Research · learning · public recordSee the product →

Tools you can install today.

Small, public instruments from the lab. Read the code, then run them on your own work.

TokenPilot on Grok Build, October 6, 2026: 76.50% fewer tokens on grok-4.7-build-fast, 65.49% on grok-4.7, 57.89% on grok-4.6, 57.10% on grok-4.5. One paired task per model.
Open source · Token reducer · Public beta

TokenPilot

Cuts the tokens Claude Code, Codex and Grok Build spend, with your model and tools unchanged. On one real task per model (Oct 6, 2026), it used at least 42% fewer tokens on 6 of 9 OpenAI and 4 of 4 Grok models.

MIT · npm 0.5.6 · macOS and LinuxSee the product →
01

Study the field

Map the real workflow and its evidence.

02

Define authority

Make decisions and human boundaries explicit.

03

Choose the stack

Use only the architecture the situation needs.

04

Return to reality

What fails in the field becomes the next question.

Bring the real system into view.

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